M2M internet of things (IOT) Market , Cloud Computing, Big Data and Big Data Analytics Huge Industry: Deep Market Dynamics and Opportunities

Technology and market advances in four separate, yet related, areas are poised to cause disintermediation as well as many market opportunities for companies across a broad spectrum within telecom and digital technologies. Machine-to-Machine (M2M) has already made a big impact on wireless communications as network operators seek to leverage revenue opportunities beyond human interaction reliant services.

The evolution of automated processes due to the Internet of Things (IoT) will accelerate this impact. The Cloud supports storage of huge amount of data gathered by M2M applications and also ensures real-time availability of data for further processing and analysis. Without the processing power and number crunching ability of Big Data and Analytics, the full potential of M2M and IoT would never be realized.

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These four factors working in alignment will enable new business opportunities and provide additional benefits to enterprise, which in turn will be passed on to end-consumers. This research evaluates each of these individually as well as in conjunction with each. This report uniquely focuses on the mutual and conjoint benefits of M2M, Cloud, Big Data and Analytics.

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Report Benefits:

Case Studies
CXO positions on Big Data
Big Data Security and Privacy
Challenges of M2M and Big Data
Applications of M2M and Big Data
Factors Driving M2M Analytics Opportunity
Barriers and Challenges to Cloud Adoption
Businesses Impact of Big Data and Analytics

Target Audience:

Network operators
M2M / IoT platform providers
M2M infrastructure providers
M2M / IoT application developers
Cloud and telecom security companies
Analytics and Data reporting companies
Telecommunications infrastructure providers
M2M equipment and service providers of all types
Cloud infrastructure and support service providers
Data aggregators, storage and management providers
Big Data solution (Infrastructure, Software, Service) vendors

Table of Content

EXECUTIVE SUMMARY

1.0 INTRODUCTION

2.0 ASPECTS OF M2M APPLICATION

3.0 BIG DATA

4.0 USING DATA AS A POWERFUL TOOL

5.0 BUSINESSES IMPACT OF BIG DATA AND ANALYTICS

6.0 M2M AND BIG DATA APPLICATIONS

7.0 CHALLENGES OF M2M AND BIG DATA

8.0 BIG DATA STRATEGIES

9.0 BIG DATA SECURITY AND PRIVACY

10.0 CLOUD

11.0 CLOUD COMPUTING MODEL

12.0 BARRIERS AND CHALLENGES TO CLOUD ADOPTION

13.0 DATA ANALYTICS

14.0 ADVANCED ANALYTICS TOOLS

15.0 ADVANCED ANALYTICS CASE STUDIES

16.0 CONCLUSIONS

17.0 APPENDIX

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